Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps. - Bruno Korbar; Andrea M. Olofson; Allen P. Miraflor; Catherine M. Nicka; Matthew A. Suriawinata; Lorenzo Torresani; Arief A. Suriawinata; Saeed Hassanpour (CVPR Workshops, 2017)

Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images. - Bruno Korbar; Andrea M. Olofson; Allen P. Miraflor; Katherine M. Nicka; Matthew A. Suriawinata; Lorenzo Torresani; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2017)

Natural Language Processing for Extracting Colorectal Polyp Information from Electronic Medical Records. - Lia Harrington; Arief A. Suriawinata; Todd A. MacKenzie; John H. Higgins; Saeed Hassanpour (AMIA, 2018)

Application of machine learning on colonoscopy screening records for predicting colorectal polyp recurrence. - Lia Harrington; Arief A. Suriawinata; Todd A. MacKenzie; Saeed Hassanpour (BIBM, 2018)

Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. - Naofumi Tomita; Behnaz Abdollahi; Jason Wei; Bing Ren; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2018)

Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. - Jerry W. Wei; Arief A. Suriawinata; Louis J. Vaickus; Bing Ren; Xiaoying Liu 002; Jason Wei; Saeed Hassanpour (ML4H@NeurIPS, 2019)

Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach. - Jason W. Wei; Jerry W. Wei; Christopher R. Jackson; Bing Ren; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2019)

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation. - Jason W. Wei; Arief A. Suriawinata; Louis J. Vaickus; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Naofumi Tomita; Behnaz Abdollahi; Adam S. Kim; Dale C. Snover; John A. Baron; Elizabeth L. Barry; et al. (CoRR, 2019)

Predicting colorectal polyp recurrence using time-to-event analysis of medical records. - Lia X. Harrington; Jason W. Wei; Arief A. Suriawinata; Todd A. MacKenzie; Saeed Hassanpour (CoRR, 2019)

Difficulty Translation in Histopathology Images. - Jerry W. Wei; Arief A. Suriawinata; Xiaoying Liu 002; Bing Ren; Mustafa Nasir-Moin; Naofumi Tomita; Jason Wei; Saeed Hassanpour (AIME, 2020)

A Petri Dish for Histopathology Image Analysis. - Jerry W. Wei; Arief A. Suriawinata; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Louis J. Vaickus; Charles Brown; Michael Baker; Naofumi Tomita; Lorenzo Torresani; Jason Wei; Saeed Hassanpour (AIME, 2021)

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. - Jerry W. Wei; Arief A. Suriawinata; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Louis J. Vaickus; Charles Brown; Michael Baker; Mustafa Nasir-Moin; Naofumi Tomita; Lorenzo Torresani; Jason Wei; et al. (WACV, 2021)

Resolution-based distillation for efficient histology image classification. - Joseph DiPalma; Arief A. Suriawinata; Laura J. Tafe; Lorenzo Torresani; Saeed Hassanpour (Artif. Intell. Medicine, 2021)

Masked Pre-Training of Transformers for Histology Image Analysis. - Shuai Jiang; Liesbeth Hondelink; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2023)

MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images. - Shuai Jiang; Arief A. Suriawinata; Saeed Hassanpour (Comput. Biol. Medicine, 2023)

Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records. - Shuai Jiang; Christina M. Robinson; Joseph Anderson; William Hisey; Lynn Butterly; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2024)

Predicting Targeted Therapy Resistance in Non-Small Cell Lung Cancer Using Multimodal Machine Learning. - Peiying Hua; Andrea M. Olofson; Faraz Farhadi; Liesbeth Hondelink; Gregory Tsongalis; Konstantin Dragnev; Dagmar Hoegemann Savellano; Arief A. Suriawinata; Laura J. Tafe; Saeed Hassanpour (CoRR, 2025)